Bigger context windows don’t automatically improve retrieval. Real gains come from reasoned, precise context—structured and guided by ontologies and knowledge graphs.

Large language models excel at transduction — drawing analogies across cases — and hint at induction, learning patterns from data. But true reasoning demands abduction: generating structured explanations. By pairing LLMs with ontologies and symbolic logic, organisations can move beyond fuzzy resemblance toward grounded, conceptual intelligence.

OpenAI’s o3 model has set new highs in significant benchmarks—and that's a game-changer for all of us. If AI can reason, code, and excel in maths and science, it’s only a matter of time before it starts reshaping tasks critical to nearly every business. Let’s dive into how o3 performed on key benchmarks: